Across Europe, religious communities and places of worship face increasing security risks. Incidents related to hate crimes and threats are real, frequent, and emotionally charged.
The core issue was not only safety. It was trust and visibility.
Effective reporting relies on trust. And prevention and policy need consistent data to succeed.
This was not a typical reporting system.
If the platform:
Felt unsafe
consequencepeople would not use it
Lacked consistency
consequencedata would be useless at the EU scale
Failed on security
consequencetrust would be lost permanently
In this project, technical decisions directly affected people's willingness to speak up. Failure would not be neutral. It would actively reinforce silence.
LLInformatics was selected as a full-responsibility technology partner to deliver the end-to-end system.
LLI was accountable for:
From the start, we aligned on one principle. A platform that handles sensitive incidents must be designed like critical infrastructure.
We focused on decisions that reduce risk in the long term, not on short-term delivery shortcuts.
LLI delivered a secure, accessible, user-focused web platform that enables reporting, analysis, and collaboration on hate-crime-related incidents.
Key CapabilitiesIncidents can be submitted anonymously or through registered accounts, lowering the barrier to reporting while maintaining accountability where required.
A single, structured schema ensures incidents are classified consistently across all EU member states, enabling meaningful cross-country analysis.
Sensitive data is protected by design, supporting both real-time monitoring and long-term academic research without compromising privacy.
NGOs, authorities, and experts can exchange knowledge, discuss approaches, and publish resources in a shared, trusted environment.
While choosing technologies for this specific project, we focused on three factors: stability, security, and long-term maintainability.
Backend
Ruby on Rails
Mature ecosystem and proven security practices — a stable foundation for sensitive data handling.
Frontend
Vue.js
Fast, accessible, and responsive interfaces built for users across varying devices and connection speeds.
Infrastructure
AWS
Scalable and reliable performance across Europe — with the resilience required for EU-wide deployment.
Testing
Robot Framework + Python
Automated and repeatable quality assurance ensuring consistent behavior across every release.
These were not trend-driven choices. They were durability-driven decisions.
To build a trustworthy platform, tools alone aren't enough. That's why we emphasised our engineering approach:
Written for the next developer, not just the current sprint.
Every module and decision documented for long-term handover.
Standardized workflows across the full delivery lifecycle.
Shared acceptance criteria and no surprises at delivery.
Public-good platforms deserve the same engineering standards as enterprise systems.
The PARTESS-COM platform now provides:
01
Communities previously without a trusted reporting channel can now submit incidents securely, with confidence their data is protected.
02
A standardized data model enables cross-country analysis that was previously impossible due to fragmented national systems.
03
The collaboration layer brings together stakeholders who previously had no common infrastructure to work within.
It is a practical, operational system that answers the real market demand and supports those affected by hate crimes.
This project reflects how LLI works across all engagements:
Whether the client is a commercial company or a Europe-wide initiative like PARTESS-COM, our standards remain the same. Technology should always protect people, not complicate their lives.
Across Europe, religious communities and places of worship face increasing security risks. Incidents related to hate crimes and threats are real, frequent, and emotionally charged.
The core issue was not only safety. It was trust and visibility.
Effective reporting relies on trust. And prevention and policy need consistent data to succeed.
This was not a typical reporting system.
If the platform:
Felt unsafe
consequencepeople would not use it
Lacked consistency
consequencedata would be useless at the EU scale
Failed on security
consequencetrust would be lost permanently
In this project, technical decisions directly affected people's willingness to speak up. Failure would not be neutral. It would actively reinforce silence.
LLInformatics was selected as a full-responsibility technology partner to deliver the end-to-end system.
LLI was accountable for:
From the start, we aligned on one principle. A platform that handles sensitive incidents must be designed like critical infrastructure.
We focused on decisions that reduce risk in the long term, not on short-term delivery shortcuts.
LLI delivered a secure, accessible, user-focused web platform that enables reporting, analysis, and collaboration on hate-crime-related incidents.
Key CapabilitiesIncidents can be submitted anonymously or through registered accounts, lowering the barrier to reporting while maintaining accountability where required.
A single, structured schema ensures incidents are classified consistently across all EU member states, enabling meaningful cross-country analysis.
Sensitive data is protected by design, supporting both real-time monitoring and long-term academic research without compromising privacy.
NGOs, authorities, and experts can exchange knowledge, discuss approaches, and publish resources in a shared, trusted environment.
While choosing technologies for this specific project, we focused on three factors: stability, security, and long-term maintainability.
Backend
Ruby on Rails
Mature ecosystem and proven security practices — a stable foundation for sensitive data handling.
Frontend
Vue.js
Fast, accessible, and responsive interfaces built for users across varying devices and connection speeds.
Infrastructure
AWS
Scalable and reliable performance across Europe — with the resilience required for EU-wide deployment.
Testing
Robot Framework + Python
Automated and repeatable quality assurance ensuring consistent behavior across every release.
These were not trend-driven choices. They were durability-driven decisions.
To build a trustworthy platform, tools alone aren't enough. That's why we emphasised our engineering approach:
Written for the next developer, not just the current sprint.
Every module and decision documented for long-term handover.
Standardized workflows across the full delivery lifecycle.
Shared acceptance criteria and no surprises at delivery.
Public-good platforms deserve the same engineering standards as enterprise systems.
The PARTESS-COM platform now provides:
01
Communities previously without a trusted reporting channel can now submit incidents securely, with confidence their data is protected.
02
A standardized data model enables cross-country analysis that was previously impossible due to fragmented national systems.
03
The collaboration layer brings together stakeholders who previously had no common infrastructure to work within.
It is a practical, operational system that answers the real market demand and supports those affected by hate crimes.
This project reflects how LLI works across all engagements:
Whether the client is a commercial company or a Europe-wide initiative like PARTESS-COM, our standards remain the same. Technology should always protect people, not complicate their lives.
Across Europe, religious communities and places of worship face increasing security risks. Incidents related to hate crimes and threats are real, frequent, and emotionally charged.
The core issue was not only safety. It was trust and visibility.
Effective reporting relies on trust. And prevention and policy need consistent data to succeed.
This was not a typical reporting system.
If the platform:
Felt unsafe
consequencepeople would not use it
Lacked consistency
consequencedata would be useless at the EU scale
Failed on security
consequencetrust would be lost permanently
In this project, technical decisions directly affected people's willingness to speak up. Failure would not be neutral. It would actively reinforce silence.
LLInformatics was selected as a full-responsibility technology partner to deliver the end-to-end system.
LLI was accountable for:
From the start, we aligned on one principle. A platform that handles sensitive incidents must be designed like critical infrastructure.
We focused on decisions that reduce risk in the long term, not on short-term delivery shortcuts.
LLI delivered a secure, accessible, user-focused web platform that enables reporting, analysis, and collaboration on hate-crime-related incidents.
Key CapabilitiesIncidents can be submitted anonymously or through registered accounts, lowering the barrier to reporting while maintaining accountability where required.
A single, structured schema ensures incidents are classified consistently across all EU member states, enabling meaningful cross-country analysis.
Sensitive data is protected by design, supporting both real-time monitoring and long-term academic research without compromising privacy.
NGOs, authorities, and experts can exchange knowledge, discuss approaches, and publish resources in a shared, trusted environment.
While choosing technologies for this specific project, we focused on three factors: stability, security, and long-term maintainability.
Backend
Ruby on Rails
Mature ecosystem and proven security practices — a stable foundation for sensitive data handling.
Frontend
Vue.js
Fast, accessible, and responsive interfaces built for users across varying devices and connection speeds.
Infrastructure
AWS
Scalable and reliable performance across Europe — with the resilience required for EU-wide deployment.
Testing
Robot Framework + Python
Automated and repeatable quality assurance ensuring consistent behavior across every release.
These were not trend-driven choices. They were durability-driven decisions.
To build a trustworthy platform, tools alone aren't enough. That's why we emphasised our engineering approach:
Written for the next developer, not just the current sprint.
Every module and decision documented for long-term handover.
Standardized workflows across the full delivery lifecycle.
Shared acceptance criteria and no surprises at delivery.
Public-good platforms deserve the same engineering standards as enterprise systems.
The PARTESS-COM platform now provides:
01
Communities previously without a trusted reporting channel can now submit incidents securely, with confidence their data is protected.
02
A standardized data model enables cross-country analysis that was previously impossible due to fragmented national systems.
03
The collaboration layer brings together stakeholders who previously had no common infrastructure to work within.
It is a practical, operational system that answers the real market demand and supports those affected by hate crimes.
This project reflects how LLI works across all engagements:
Whether the client is a commercial company or a Europe-wide initiative like PARTESS-COM, our standards remain the same. Technology should always protect people, not complicate their lives.
